GitHub topics: ml-model-evaluation
meetk5/Supervised-Learning-Challenge-2
This project highlights the use of KNN, SVM, Decision Tree and Random Forest Classifiers to predict heart disease in a set of patients. The project also evaluates the models using metrics like Accuracy, Classification Report (Precision, Recall, F1-Score) and Confusion Matrix.
Language: Jupyter Notebook - Size: 43 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

AAnzel/Polar-Diagrams-Dashboard
"A Multi-Technique Strategy for Improving Summary Polar Diagrams" by Aleksandar Anžel, Zewen Yang, and Georges Hattab
Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

AAnzel/Polar-Diagrams-for-Model-Comparison
"Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel, Dominik Heider, and Georges Hattab
Language: Jupyter Notebook - Size: 243 MB - Last synced at: 18 days ago - Pushed at: 2 months ago - Stars: 6 - Forks: 0

ashwinisingh98/Applied-Data-Science-Capstone-IBM
Data Science project for a startup intending to compete with SpaceX
Language: Jupyter Notebook - Size: 4.38 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1
